Data Science #24

In this issue: how WebAssembly is changing scientific computing; generative AI capabilities increase data analytics value; Python Rgonomics; modeling player and team performance in basketball; applied machine learning for tabular data; scikit-learn visualization guide; and more.

The sponsor of this issue is Mozilla and True Positive Inc.

• [Nature] No installation required: How WebAssembly is changing scientific computing
• Generative AI capabilities increase data analytics value
• Python Rgonomics
• [Sponsored] Mozilla’s Rise25 Awards are open! Nominate someone today.

This year’s Mozilla’s Rise 25 awards, to be held in Dublin, Ireland, is honoring 25 people who are leading the next wave of AI. These are the visionaries making sure the future of AI is serving the good of people, not big corporations. Know someone? Get your nomination in today!

• Basketball by the numbers: Insights from Paradime's NBA data modeling challenge
• [ArXiv] Modeling player and team performance in basketball
• [eBook] Applied machine learning for tabular data
• [Sponsored] The best way of learning machine learning in 2024
• 6 python libraries to make beautiful maps
• Scikit-learn visualization guide: Making models speak

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